const std = @import("std");
const driver_manager = @import("driver_manager.zig");
const api = @import("api.zig");

// TPU驱动数据结构
const TpuDriverData = struct {
    // 驱动私有数据
    allocator: std.mem.Allocator,
    device_count: u32,
    initialized: bool,
};

// TPU设备数据结构
const TpuDeviceData = struct {
    device_id: u64,
    model_loaded: bool,
    current_model_id: u32,
    operation_status: u32,
    // 其他TPU设备相关字段
};

// TPU驱动命令
pub const TPU_IOCTL_LOAD_MODEL = 0x201;
pub const TPU_IOCTL_UNLOAD_MODEL = 0x202;
pub const TPU_IOCTL_EXECUTE_TENSOR = 0x203;
pub const TPU_IOCTL_GET_STATUS = 0x204;
pub const TPU_IOCTL_SET_CONFIG = 0x205;

// TPU模型信息
const TpuModelInfo = struct {
    model_id: u32,
    model_path: [256]u8,
    input_tensors: u32,
    output_tensors: u32,
    // 其他模型相关信息
};

// TPU张量请求
const TpuTensorRequest = struct {
    model_id: u32,
    input_buffers: [8]u64, // 物理地址
    output_buffers: [8]u64, // 物理地址
    input_sizes: [8]u64,
    output_sizes: [8]u64,
    tensor_count: u32,
};

// TPU设备状态
const TpuStatus = struct {
    device_id: u64,
    is_busy: bool,
    loaded_models: u32,
    memory_usage: u64,
    temperature: u32,
    compute_cores_active: u32,
};

// TPU配置参数
const TpuConfig = struct {
    frequency: u32, // MHz
    power_mode: u8, // 0: 省电, 1: 平衡, 2: 高性能
    memory_limit: u64, // 字节
    core_mask: u64, // 核心掩码
};

// 初始化驱动
fn init_driver(allocator: std.mem.Allocator, driver_data: *anyopaque) bool {
    std.log.info("TPU driver initialized");
    
    // 分配驱动数据
    const tpu_data = allocator.create(TpuDriverData) catch {
        std.log.err("Failed to allocate TPU driver data");
        return false;
    };
    
    tpu_data.* = TpuDriverData{
        .allocator = allocator,
        .device_count = 0,
        .initialized = true,
    };
    
    // 存储驱动数据
    @atomicStore(*anyopaque, driver_data, tpu_data, .Release);
    return true;
}

// 清理驱动
fn deinit_driver(driver_data: *anyopaque) void {
    const tpu_data = @ptrCast(*TpuDriverData, @alignCast(@alignOf(TpuDriverData), driver_data));
    std.log.info("TPU driver deinitialized");
    tpu_data.allocator.destroy(tpu_data);
}

// 探测设备
fn probe_device(device_info: *driver_manager.DeviceInfo) bool {
    // 检查是否为TPU设备
    std.log.info("TPU driver probing device: VID={x}, PID={x}", .{device_info.vendor_id, device_info.device_id});
    
    // 这里我们假设TPU设备的类ID范围是0x090000到0x09FFFF
    if (device_info.class_id >= 0x090000 and device_info.class_id <= 0x09FFFF) {
        std.log.info("TPU device matched");
        return true;
    }
    
    return false;
}

// 移除设备
fn remove_device(device_id: u64) void {
    std.log.info("TPU driver removing device: {d}", .{device_id});
    // 这里应该清理与该设备相关的所有资源
}

// IO控制
fn ioctl_device(device_id: u64, cmd: u32, data: *anyopaque, size: u64) isize {
    std.log.info("TPU driver IOCTL: device={d}, cmd={x}, size={d}", .{device_id, cmd, size});
    
    switch (cmd) {
        TPU_IOCTL_LOAD_MODEL => {
            if (size < @sizeOf(TpuModelInfo)) {
                return -1; // 缓冲区太小
            }
            
            const model_info = @ptrCast(*TpuModelInfo, @alignCast(@alignOf(TpuModelInfo), data));
            std.log.info("Loading model: ID={d}, Path={s}", .{model_info.model_id, &model_info.model_path});
            
            // 模拟模型加载过程
            std.log.info("Model loaded successfully");
            return 0;
        },
        
        TPU_IOCTL_UNLOAD_MODEL => {
            if (size < @sizeOf(u32)) {
                return -1; // 缓冲区太小
            }
            
            const model_id = @ptrCast(*u32, @alignCast(@alignOf(u32), data));
            std.log.info("Unloading model: ID={d}", .{model_id.*});
            
            // 模拟模型卸载过程
            std.log.info("Model unloaded successfully");
            return 0;
        },
        
        TPU_IOCTL_EXECUTE_TENSOR => {
            if (size < @sizeOf(TpuTensorRequest)) {
                return -1; // 缓冲区太小
            }
            
            const request = @ptrCast(*TpuTensorRequest, @alignCast(@alignOf(TpuTensorRequest), data));
            std.log.info("Executing tensor operation: Model ID={d}", .{request.model_id});
            std.log.info("Tensor count: {d}", .{request.tensor_count});
            
            // 模拟张量计算执行
            std.log.info("Tensor operation completed successfully");
            return @sizeOf(u64); // 返回结果大小
        },
        
        TPU_IOCTL_GET_STATUS => {
            if (size < @sizeOf(TpuStatus)) {
                return -1; // 缓冲区太小
            }
            
            const status = @ptrCast(*TpuStatus, @alignCast(@alignOf(TpuStatus), data));
            status.device_id = device_id;
            status.is_busy = false;
            status.loaded_models = 1;
            status.memory_usage = 1024 * 1024 * 256; // 假设使用了256MB内存
            status.temperature = 70; // 假设温度为70°C
            status.compute_cores_active = 64; // 假设激活了64个计算核心
            
            return @sizeOf(TpuStatus);
        },
        
        TPU_IOCTL_SET_CONFIG => {
            if (size < @sizeOf(TpuConfig)) {
                return -1; // 缓冲区太小
            }
            
            const config = @ptrCast(*TpuConfig, @alignCast(@alignOf(TpuConfig), data));
            std.log.info("Setting TPU config: Freq={d}MHz, PowerMode={d}, MemLimit={d}MB, CoreMask={x}", 
                .{config.frequency, config.power_mode, config.memory_limit / (1024 * 1024), config.core_mask});
            
            // 模拟配置设置
            std.log.info("TPU config updated successfully");
            return 0;
        },
        
        else => {
            std.log.info("Unknown TPU IOCTL command");
            return -1; // 未知命令
        },
    }
}

// TPU驱动接口
pub const tpu_driver_interface = driver_manager.DriverInterface{
    .name = "tpu_driver",
    .description = "Tensor Processing Unit driver",
    .version = 1,
    .init = init_driver,
    .deinit = deinit_driver,
    .probe = probe_device,
    .remove = remove_device,
    .ioctl = ioctl_device,
};

// 导出驱动接口
export fn tpu_driver_get_interface() *driver_manager.DriverInterface {
    return &tpu_driver_interface;
}